GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

APPLIED ARTIFICIAL INTELLIGENCE/5021329

Course Title:	APPLIED ARTIFICIAL INTELLIGENCE
Credits	3	ECTS	7.5
Semester	1	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Prof. Dr. Seref SAGIROGLU

-- WEB SITE(S) OF LECTURER(S)

ceng.gazi.edu.tr/~ss

-- EMAIL(S) OF LECTURER(S)

ss@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Students learn Artificial Intelligence techniques theoretically and practically.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

None

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	General introduction
2. Week	Intelligence, Artificial Intelligence, Artificial Intelligence techniques and basic principles
3. Week	Learning strategies
4. Week	Learning strategies
5. Week	Problem solving and searching strategies
6. Week	Principles
7. Week	Artificial Intelligence Tools
8. Week	Artificial Intelligence Tools
9. Week	Artificial Intelligence Tools
10. Week	Knowledge representation, methods and techniques
11. Week	Knowledge representation, methods and techniques
12. Week	Problem-solving methods
13. Week	Application examples of LISP and PROLOG
14. Week	Projects presentation
15. Week
16. Week

-- RECOMMENDED OR REQUIRED READING

Mühendislikte Yapay Zeka Kullanımı I: Yapay Sinir Ağları, Ufuk Kitabevi, 2003.

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

None

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	0	30
Assignment	0	10
Exercises	0	0
Projects	0	60
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	13	3	39
Practising Hours of Course Per Week	2	3	6
Reading	14	3	42
Searching in Internet and Library	16	2	32
Designing and Applying Materials	5	5	25
Preparing Reports	7	3	21
Preparing Presentation	2	5	10
Presentation	2	5	10
Mid-Term and Studying for Mid-Term	1	5	5
Final and Studying for Final	1	10	10
Other			0
TOTAL WORKLOAD:			200
TOTAL WORKLOAD / 25:			8
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

Gazi University